Lead GIS Data Engineer

As a lead GIS Data Engineer, you’ll play a key role in shaping the next generation of spatial data processing at HERE. You will work with a variety of spatial and non-spatial data sources including Repetitive Sources, APIs, and RSD Sensor Data, to design, build, and operate advanced data integration pipelines. Acting as a technical project owner, you’ll help drive the evolution of HERE’s Unified Map Maintenance and AI-driven source processing ecosystem.

In this role, you will:

• Build and operate spatial data pipelines: Design, develop, and optimize robust data engineering pipelines that transform and integrate spatial and non-spatial sources into HERE map databases and downstream products.
• Lead Gen3/Symphony attribute automation: Own and scale attribute automation workflows (e.g., map matching, comparison logic, confidence scoring, auto coding) to increase automation levels and reduce end-to-end latency from detection to map update.
• Drive IMP Data Preparation and transition readiness: Act as a domain and implementation expert to support the transition of attribute processing into IMP, aligning flow design, interfaces, and operational standards across teams.
• Enable Unified Context Store and cross-referencing: Collaborate with Analytics and AI Engineering to develop components that support semantic integration, cross-source validation, and confidence indexing for spatial content.
• Operational excellence and quality in-line: Monitor, troubleshoot, and continuously improve data conversions, bulk updates, and system performance; implement checks/alerts/metrics to raise data quality and operational reliability.
• Advance AI-native workflows: Contribute to Agentic AI evolution by developing pipelines that reason over spatial content, detect change, and trigger automated downstream actions with measurable quality outcomes.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or an equivalent field.

• 8+ years of professional experience as a Data Engineer.

• Proficiency in Python and SQL.

• Experience with GIS/spatial processing tools (ArcGIS, QGIS, FME).

• Experience integrating data across databases and APIs (Oracle, PostGIS, file geodatabases).

• Cloud fundamentals, preferably AWS (S3, Lambda, SNS, SQS).

• Engineering best practices (Git/GitLab, CI/CD, code reviews, documentation).

• A quality and observability mindset (validation, monitoring, KPIs).

• Clear communication and cross-functional collaboration skills.

• Domain knowledge in map maintenance/traffic signs and an interest in AI automation (or the ability to ramp up quickly).

• Technical ownership and project execution skills.

• Strong analytical and problem-solving skills.

What Do We Offer?

• Work on the development of large-scale services, serving and storing petabytes of data
• Work with cutting-edge, modern technologies
• A great work-life balance
• Flexible working hours
• Competitive salary plus bonus
• Fantastic & talented people from 60+ countries worldwide

Change is HERE. Apply Now!

As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable.

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HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.